To label the PCs, one usually looks at the top k vector entries in absolute value and assigns meaning according to them. A key to making sense of the projected data is the semantic interpretation of the new axes (the PCs). Typically, the data is projected on the first two PCs to obtain a twodimensional view, and trends and patterns are being examined. Principal Component Analysis (PCA) is a central tool for analyzing data and social media data in particular. These micronutrients observed in this study possessed high variability however, they were within the expected range in tropical peatland. Total Fe, Cu, and Zn were determined by the wet digestion method.
Peat samples were taken compositely inside the block using a combination of six factors, including a) the oil palm age (<6, 6-15, >15 years old), b) the peat thickness (< 3 and >3 m), c) season (rainy and dry), d) the distances from the secondary canal (10, 25, 50, 75, 100, and 150 m), e) the distances from an oil palm tree (1, 2, 3, and 4 m), and f) the depth of sample collection (0-20, 20-40, and 40-70 cm from the peat surface).The distribution of total Fe, Cu, and Zn in peat and their relationship with environmental factors were studied under oil palm plantation, Pangkalan Pisang, Koto Gasib, Riau, Indonesia. The use of biological and ecophysio.Įxtensive utilization of fragile tropical peatlands ecosystem encourages a better understanding of spatiotemporal micronutrients distribution. The developed SQI was according to the indicators WHC, SLT, N-NO 3 −, and qCO 2, differentiating the quality of soils from the agricultural management in low quality (JRM < CYI < AGQ) and moderate quality (CTJ < CRC < CTH). It was implemented the equation of additive weights using the variance of the principal components as a weight factor for the SQI. Principal component analysis (PCA) was used, reducing the indicators from 46 to 4, which represents 80.4% of data variability. In this study, six agricultural soils were analyzed: AGQ, CTH, CTJ, JRM, CRC, and CYI, and used to develop a soil quality index (SQI) that includes the use of physicochemical, biological, and ecophysiological indicators to differentiate soil quality. Over time, agricultural practices have led to soil deterioration, loss of fertility, and abandonment. The Bajío-Mexico's central lowlands-is a region of economic importance because of its agricultural industry.